Have an internal AI assistant developed
An internal assistant only becomes truly useful when it knows your context, can find sources and only shows information a user is allowed to see. We build the technology behind that experience.
Does this sound familiar?
The need is usually clear when a lot of valuable knowledge does exist, but is hard to find or scattered.
Employees keep searching for the same information
Answers are spread across documents, systems and colleagues.
A general chatbot doesn't know your context
Good answers require access to organisation-specific information.
Sources change regularly
The solution has to work with current knowledge without baking everything into a model.
Not everyone may see everything
Roles, teams or clients have different access rights.
Where do you want to be?
Employees should get to the right information faster without creating a new knowledge problem with unreliable answers.
Answers based on your own sources
The assistant uses relevant internal documents, data and knowledge.
Sources stay verifiable
Users can see where important information comes from.
Access follows existing permissions
The assistant doesn't reveal information the user normally isn't allowed to see.
Why does this happen?
An internal AI assistant is mainly an information and integration challenge around a language model.
See how we approach thisKnowledge is scattered
Documents, databases and other systems each have their own structure.
A model doesn't know what is true
Without good retrieval and source selection, convincing-sounding nonsense can appear.
Permissions have to carry through
Central access to knowledge must not bypass existing security boundaries.
Build & Integrate
With Build & Integrate we build the assistant around your real sources, access model and usage situations. If it's still uncertain whether retrieval and answer quality will work well enough, we can first validate that core in an AI Prototype Sprint.
View this offerFixed price after scoping
Fixed price after joint scoping
- Result
- Working, integrated software your team can take over
- Duration
- Set in the scope
- Next step
- Handover to your team, or further development together
Why 9to5 for this?
The chat window is the easy part. Whether employees can rely on the assistant depends on how data, permissions, retrieval and AI are connected.
View casesYour own data as part of the design
We start with the sources and users, not with an arbitrary model.
Integrations are part of it
The assistant can connect to existing software instead of becoming a new information silo.
Reliability over magic
Sources, uncertainty and limits may stay visible to the user.
What else fits your situation?
AI Prototype Sprint · €6,950 excl. VAT
From one concrete AI idea to a working end-to-end prototype that lets you actually test the key technical assumptions.
View offerMake your own documents, data and knowledge usable for AI
The valuable information is already there. Now AI has to be able to work with it reliably, securely and practically.
View use caseProcess documents, messages, emails or requests automatically
Information comes in as free text or documents and then has to be read, assessed, recorded or forwarded.
View use case